مجله بیوتکنولوژی کشاورزی
سال پانزدهم شماره 4 (پیاپی 53، زمستان 1402)

The aim of this study is to optimize tomato as a suitable plant system for transient gene transformation for the production of pharmaceutical and industrial compounds.

In order to investigate transient gene expression, three concentrations of Agrobacterium in OD600 (0.4, 0.6 and 0.8), three times after inoculation (4, 7 and 10 days) and two conditions with the presence of p19 gene and without p19 were selected as factors affecting the gene expression. The vectors used in this research pXK2FS7 and pCAMBIA1304 contained GFP and P19 genes, respectively. For transient GFP transformation, leaves of seedlings were inoculated using agroinfiltration method. In this way, different concentrations of Agrobacterium containing pXK2FS7 vector and P19 vector were mixed together and the expression of GFP gene was investigated. All the leaves of tomato plants at the appropriate stage were injected by insulin syringe without needle on the lower surface of the leaf. In order to confirm the transfection of the GFP and its expression, RNA extraction, cDNA synthesis and the analysis of expression by Real-Time PCR were performed and the expression of the GFP protein with a fluorescence microscope was finally detected.

The results showed that the concentration of Agrobacteria, the number of days after inoculation, and the expression of the p19 had significant effects on the GFP expression. The expression of p19 as a suppressor of gene silencing mechanism led to higher GFP expression in comparison with the absence of p19. Additionally, it was found that dilution of 0.6OD600 Agrobacterium was the most suitable concentration for high expression of GFP agroinfiltration. Furthermore, the highest level of GFP expression was obtained 7 days after leaf inoculation. The best combination for maximum GFP expression at transcript level obtained at 0.6 OD600, 7 days after inoculation and expression of p19.

The results of this research can be used in preliminary studies or optimization of recombinant protein production in tomato leaves.

Drought is one of the major environmental stresses that adversely affect the growth and development of wheat. This study aimed to determine the structure of the population and to identify markers associated with physiological and agronomic traits in bread wheat under drought stress conditions.

A total of 238 bread wheat genotypes were evaluated using a randomized complete block design with two replications under drought stress conditions. Various physiological traits, including carbon dioxide exchange, photosynthesis rate, and chlorophyll content, as well as agronomic traits such as days to heading, days to maturity, flag leaf length and width, plant height, seed weight per plant, number of seeds per unit area, seed yield, and biological yield, were measured. Genotyping was performed using 9K SNP array. The population structure analysis was conducted using 17,093 SNP markers in R software. Marker-trait association (MATs) was carried out using GLM model in TASSEL.

The analysis of population structure divided the 238 wheat genotypes into five subgroups. A total of 132 MTAs were identified for different traits. Notably, four SNPs, on chromosomes 6B, 4A and 6A exhibited pleiotropic effects on traits such as seed number per unit area, seed weight, and yield. Furthermore, eight MTAs for seed weight were identified on chromosomes 4B, 5B, 6B, and 7A. Chromosome 6B contained the highest number of SNPs, covering a region between 481-519 Mbp. For the number of seeds per unit area, 12 MTAs were located on chromosomes 3B, 4A, 5A, 6A, and 6B. The region with the highest number of SNPs was found between 561-492 Mbp on chromosome 6B, which overlapped with the region associated with seed weight per plant. These findings highlight the significance of this specific region in the wheat genome for improving bread wheat yield.

The results of this research provide valuable insights for breeders seeking to enhance wheat yield potential. Identified markers associated with key agronomic traits can be utilized in marker-assisted selection programs, aiding in the selection of desired traits.

Beet curly top Iran virus (BCTIV) is a destructive virus causing damage to agriculture industry annually. BCTIV has a circular single-stranded DNA genome with five open reading frames (ORFs): V1, V2 and V3 on genomic strand, and C1 and C2 on complementary strand. V2 acts as a suppressor of silencing interfering with this defense pathway. This study was aimed to determine the evolutionary characteristics and genetic structure of V2 among different BCTIV isolates.

Total number of 31 BCTIV V2 nucleotide sequences were extracted from the GenBank and analyzed. The nucleotide sequence was aligned and the phylogenetic tree was drawn. Nucleotide polymorphism analysis was determined. Also, the occurrence of insertion-deletion polymorphism (InDel) was investigated. Nonsynonymous (dN) and synonymous (dS) substitution rates and dN/dS ratio were calculated in order to check the selection pressure on nucleotide sequences and V2 codons. Entropy analysis was also performed to investigate possible variations in nucleotide positions.

Based on the host and geographical location, V2 sequences were placed in different clusters of the phylogenetic tree. 20 haplotypes and 94 polymorphic loci was detected. Haplotype and nucleotide diversity was calculated as 0.963 and 0.06517, respectively. The mean nucleotide differences was 23.463. InDel polymorphism was not observed. The rates of dN and dS were calculated as -0.60699 and 0.03020, respectively, both of which were not significant. The dN/dS ratio was also -20.10201. Total number of 26 positions among the codons showed a positive value of dN/dS ratio, while 34 positions had a negative value. Also, at least 9 recombination events were observed. Entropy analysis showed that nucleotide position 247 has the most changes with an entropy rate of 0.93.

The results suggest that the variation in the nucleotide sequence of BCTIV V2 can be effective in suppressing gene silencing and the pathogenicity of different isolates in different hosts. The variability of this part of the virus genome may in the future lead to an increase in the range of host range of the virus or to overcome the resistance of plant varieties.

The research was conducted to study changes in expression pattern of some genes involved in drought tolerance due to the problem of terminal drought stress in rainfed lentil agriculture in Iran.

In order to identify the consensus sequence of the coding sequence (CDS) of selected lentil genes; Aquaporin PIP2, Fructose bisphosphate aldolase, Oxygen-evolving enhancer protein2, WRKY1 and Xyloglucan endotransglucosylase/hydrolase, expressed sequence tag (EST) and reads were identified through similar ortholog sequences in other leguminosae plants. 90, 60 and 30 percent of field capacity were considered as control, medium and severe stress respectively. RNA was extracted from both control and severe drought stress treated plants leaf samples, cDNA was synthesized from RNA samples. Expression profiles of the genes, were determined via real time PCR technique. To represent the effect of drought stress on lentil plant, some morphological, physiological and biochemical characteristics were measured.

Characteristics like plant height, shoot fresh weight, root fresh weight, shoot dry weight, root dry weight, relative water content, leaf area index, chlorophyll and protein content decreased due to drought stress, leaf trichome density, electrolyte leakage index, proline and carbohydrate content, malondialdehyde and hydrogen peroxide increased in drought stress. Analysis of real time PCR demonstrated expression of AQUAPIP2، FBA and WRKY1 genes were increased and expression of XTH and OEE2 genes were decreased under severe drought stress condition.

The results show that AQUAPIP2, FBA and WRKY1 genes are involved in drought tolerance. Due to higher expression of AQUAPIP2 and WRKY1 genes in the tolerant genotype, reduction of RWC in this genotype is less. Less increase in hydrogen peroxide in the tolerant genotype, partly influenced by higher expression of AquaPIP2 gene and higher activity of antioxidant enzymes, which was influenced by higher expression of AquaPIP2 gene in tolerant genotype than susceptible genotype. The increase in carbohydrate content in both genotypes was partially affected by FBA gene expression.

Knowledge of genetic diversity is the basis of plant breeding and various aspects such as ‎selection of cross parents, protection of germplasm and prevention of genetic erosion are important. The ‎purpose of this research is to evaluate the genetic diversity and investigate the genetic relationships in ‎the native ecotypes of marigold in Iran in order to be used in breeding projects and to protect the ‎genetic reserves of this plant. ‎‎ ‎

In this research, after extracting DNA from young leaves by CTAB method, ‎the molecular diversity of 18 ecotypes of three species of marshmallow bud was investigated using 10 ‎ISSR primers. ‎‎ ‎

The total number of bands formed by the primers studied in this research varied between 11 ‎and 23 for each primer. The number of polymorphic bands in this research for ‎the primers was at least 7 and at most 21 bands. In this research, the PIC ranged between 0.19 and 0.42 ‎and its average was 0.29. The highest PIC was related to the ISSR2 marker and the lowest PIC was ‎related to the ISSR4 marker. Cluster analysis showed that at the similarity level of 65%, the ecotypes ‎related to each species were in one group and the ecotypes related to different species were placed in ‎separate groups, so that the ecotypes of Qazvin, Taft, Yazd, Sari, Kerman and Shiraz which All of them ‎belonged to the Althaea Rosea species and were placed in one group. In the second group, the ecotypes ‎belonging to the Althaea Ficifolia species, which included Behshahr, Gorgan, Bam, Rafsanjan, ‎Hamadan and Mashhad, were placed.The results of molecular variance analysis showed that 28% of the variation is within the ‎species and 72% of the variation is Among the studied species. The results of analysis to main ‎coordinates also confirmed the results of cluster analysis. ‎‎ ‎

Conclusion:

According to the obtained results, the ISSR marker and the primers investigated in this ‎experiment have the necessary efficiency to distinguish the ecotypes and the species of khatami ‎flowers, and on the other hand, due to the genetic diversity of the ecotypes studied in this experiment, ‎it can be The title of the parents was used in the breeding projects of this plant, and in order to preserve ‎the germplasm and prevent genetic erosion, it is suggested to keep the ecotypes studied in this research ‎in plant gene bank ‎.

Rice (Oryza sativa) is the main part of the food of more than three billion people of the world, which is cultivated in different agricultural areas worldwide. While its yield and quality are severely threatened by pathogenic factors. Rice Blast, which is caused by the fungal pathogen M. oryzae is the most destructive disease in rice. About 10 to 30% of the annual production of rice is lost due to this disease. The defense response applied against most pathogens is mainly to It is controlled by three messenger molecules, salicylic acid, jasmonic acid and ethylene. One of the effective solutions in producing resistant plants is to modify the genetic pathways of message transmission involved in the defense mechanism, through the manipulation of genes encoding messenger molecules related to proteins. Defense is obtained. For hemi-biotrophic pathogens such as Magnaporthe oryzae rice blast, both salicylic acid and jasmonic acid pathways are necessary for resistance. In this study, the amount of expression changes of OsWRKY45 and OsAOS2 genes involved in salicylic acid and jasmonic signaling pathways acid using QRT-PCR technique and chlorophyll content in time zero, 36 and 72 hours after infection in leaf blast seedling stage and neck blast clustering, as well as traits related to resistance components including the number of spore spots, infected stem surface and spot size seven days after inoculation with IC-25 isolate of M. oryzae It was examined in the clustering stage. The cultivars under study include the dynamic variety (resistant to blast) which was created using the method of mutation induction in the variety Musitaram (sensitive to blast), which have the same genetic background and different response to the disease. The evaluation of the resistance components showed that the dynamic variety was tolerant and the Musitaram variety was susceptible to the fungus in both seedling and clustering stages. Based on the resistance results after inoculation with M. oryzae isolate IC-25, the dynamic variety had a resistant infection type and the Musitaram variety was sensitive. The results of gene expression after disease induction showed that the dynamic variety had a significant increase in the expression of osAOS2 and osWRKY45 genes compared to Musataram variety. The chlorophyll content decreased with the passage of time after seeding, and the intensity and speed of this decrease was higher in the dynamic variety compared to Musa Tarem.

So far around 500 species of Artemisia have been found in different regions of the world, and among them 34 species are endemic to Iran. It has been evidenced that Artemisinin is one of the medicinal compounds found in Artemisia that has various medical properties, especially antimalarial. The main objective of the present study was to comprise phytochemical profile and expression pattern of some genes related to artemisinin biosynthesis pathway in A. fragrans and A. annua species.

In the present study, the accumulated artemisinin content in A. fragrans and A. annua species were detected using the high-performance liquid chromatography (HPLC) technique. Moreover, phytochemical compounds in leave tissue were identified using the gas chromatography–mass spectrometry (GC-MS) technique. The gene expression patterns for some artemisinin biosynthesis related genes including 4FPSF, DBR2, HMGR1, HMGR2, WIRKY, ADS, DXS, and SQS were comprised in two studied species. In each species, association between artemisinin content and the relative expression of investigated genes were determined through correlation analysis. All statistical analysis was performed based on three replication using R software.

Based on obtained results, there was observed a significant difference between two Artemisia species in terms of artemisinin content, and the highest content was recorded for A. fragrans. Using GC-MS analysis, in general 26 and 20 phytochemical compounds were identified in A. fragrans and A. annua species, respectively. Among identified compounds, eight compounds were similar in both species. Moreover, some compounds such as Comphor, 1,8-Cineole, 4-Terpineol, and Pinocarvone were most important. According to the gene expression analysis, the highest relative expression of 4FPSF, ADS, and DXS genes were recorded in A. annua, while the highest numbers of transcripts for SQS, HMGR1, HMGR2, DRB2, and WIRKY genes were estimated in A. fragrans. The results of correlation analysis for both species showed that artemisinin content significantly and positively correlated with the expression of ADS, DBR2, DXS, and HMGR1 genes. However, in A. annua species, the SQS gene was not expressed and there was no correlation between these genes and artemisinin content.

In general, the obtained results revealed a significant difference between two studied Artemisia species in terms of the artemisinin content and other phytochemical compounds. Furthermore, our results indicated that A. fragrans could be used as an ideal source for extract artemisinin and other compounds. Hence, conducting other supplementary studies on this species is recommended.

Iran is considered to be one of the oldest centers of domestication and breeding of livestock and poultry species in the world. Currently, different ecotypes of indigenous sheep are kept in different geographical regions of the country, which have obvious differences from each other in terms of appearance and production characteristics. So far, there has not been a comprehensive study on the whole genome level to identify the genetic diversity of native Iranian sheep. Therefore, the aim of this study is to identify the genomic characteristics of these native reserves in order to organize appropriate programs for their exploitation and protection

In this study, the whole genome sequences of 29 native Iranian sheep were downloaded from the NCBI database and analyzed. Whole genome sequencing of the studied data has been done by Hiseq2000 and Hiseq X Ten sequencer devices. Quality control of raw data sequences was done by FastQC program. To align the sequence data with the sheep reference genome (Oar v.4.0, https://www.ncbi.nlm.nih.gov/assembly/GCF_000298735.2), the BWA-MEM algorithm used in the BWA software package was used. Picard program was used to remove PCR duplicates from mapping outputs. The alignment outputs with the reference genome were processed in two stages, including re-alignment of deletions and small insertions and recalibration of the base quality score using the GATK program. The average coverage depth and alignment percentage for alignment output with the reference genome were calculated using depth and flagstat commands used in samtools software. Single nucleotide polymorphisms (SNPs) were identified by the UnifiedGenotyper tool used in the GATK program. Nucleotide diversity values and genomic inbreeding coefficient were calculated based on homozygous SNPs for each individual using the het command used in the VCFtools program.

The average coverage depth of the used data in this study was 18.39 X. The average percentage of alignment of short sequences with the sheep reference genome was 99.89%. The values of genomic inbreeding coefficient in Iranian native sheep breeds ranged from 0.01 to 0.12. The lowest value of genomic inbreeding coefficient was observed in the genome of Mughani sheep (0.01) and the highest value of inbreeding coefficient was observed in the genome of Afshari sheep. Also, the average values of observed and expected percentage of heterozygosity calculated for single nucleotide polymorphisms in the genome of Iranian native sheep ecotypes ranged from 20.67 to 23.06 and 32.415 to 32.421.

g-Aminobutyric acid (GABA) is a non-protein amino acid synthesized by decarboxylation of glutamate by the enzyme glutamic acid decarboxylase. The central nervous system (CNS) contains uniquely high concentrations of GABA, and GABA serves as a major inhibitory neurotransmitter. The biological effects of the amino acid neurotransmitter GABA are mediated by ionotropic GABA-A receptors, a family of ion channels, and by the metabotropic GABA-B receptor, a receptor coupled to the inhibitory G-protein. Gene expression Status of GABAergic circuit is changed under different physiological conditions. Broodiness is one of those conditions. Investigation on high broodiness occurrence breed and breed without broodiness would be able to declare this discrepancy of different in egg lying and broodiness condition.

available dataset of hypothalamus gene expression were downloaded from NCBI (http://www.ncbi.nlm.- nih.gov/sra/SRP082125). The transcriptional profiling of hypothalamus samples from leghorn and local hen in non-broodiness and broodiness condition respectively was carried out at 2 samples for treated and 2 samples for control group. The quality control of sequencing reads was carried out by FastQC software. Filtered reads were evaluated with FastQC. String database was used for the retrieval of interacting genes and Cytoscape software was used to visualize the network. Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis.

In hypothalamus of non-broodiness and broodiness hens 2943 genes was expressed. After searching gene ID and analyzing 7 genes was identified as a GABAergic pathway. two enzymes involved in converting Glutamat to GABA, including GAD1 and GAD2. Both of them had down-regulation of expression in local hen compared to Leghorn hens. Gene reduction of GABAA, G and B receptors, gene increase expression of GABAA subunit of Pi and GABAC subunit of R1 was observed in local hen compared to Leghorn hens.

with investigation on transcription of GABAergic pathway of local and Leghorn hens, both GABA synthetic enzymes and GABA receptors showed significant difference. This showed more GABA receptor and GABA synthetic enzymes gene expression in lying hen and probably with survey of GABAergic pathway during different phase of egg production, more noticeable result would be declared.

Sucrose, the final product of photosynthesis, plays important roles in growth, development, storage, signal transduction, and acclimation to environmental stresses in higher plants. Sucrose-phosphate phosphatase (SPP) catalyzes the final irreversible step in the sucrose biosynthesis pathway. In this study, the SPP orthologous genes in wheat and progenitors were selected, and the expression regulation of the orthologous SPP genes were analyzed in response to salinity stress.

Seeds of bread wheat (Triticum aestivum CV. Rooshan), durum wheat (Triticum turgidum CV. Hana), and Aegilops tauschii were provided by the Seed and Plant Improvement Institute, Karaj, Iran. In order to quantify the expression of SPP genes, qRT-PCR was performed on total RNA extracted from leaf and root tissues of control and salt-treated (NaCl 200 mM) samples. A gene tree was constructed to calculate the evolutionary and phylogenetic relationships of the SPP protein family in bread wheat and its progenitors. The possibility of post-transcriptional regulation of the SPP genes was also evaluated using the online tool psRNATarget.

The results of the phylogenetic analysis showed that 6, 4, and 2 SPP paralogous genes have evolved on chromosomes 1 and 5 of bread wheat, durum wheat, and Ae. tauschii, respectively. Additionally, We predicted 16 different microRNAs can target some of the SPP gene transcripts in bread wheat and Ae. tauschii. Gene expression results also indicated that SPP gene expression increased in the root and leaf tissues of bread wheat in response to salinity stress, while it decreased in durum wheat. The response of Ae. tauschii to salinity stress was different, with decreased expression observed in leaf tissue but increased expression in root tissue.

Post-transcriptional regulation through miRNAs can play an important role in the regulation of the complex sucrose metabolism, especially in the regulation of SPP gene expression. Gene expression results showed that under salinity stress conditions, bread wheat increases sucrose production, while in durum wheat, which is more sensitive to salinity stress, sucrose production is disrupted or decreased. This reduction in sucrose production can lead to a decrease in yield.

According to the World Anti-Doping Agency (WADA), gene doping refers to the non-therapeutic use of genes, gene components, and cellular elements that enhance the athletic performance capacity of animals. Doping used to be done with various drugs such as Anabolic Androgenic Steroids (AAS), Caffeine, Cocaine, Amphetamine, Apomorphine, Fentanyl, Barbiturates, Butazone, etc. but with the progress in the field of gene therapy, the necessary tools for gene doping were created. The objectives of this review were to introduce the types of drug doping, gene doping, the detection methods and important candidate genes used in gene doping in horses. Gene Doping Methods and Detection TechniquesGene doping methods can generally be classified into three categories: gene transfer, gene silencing, and gene editing. Various methods have been proposed for detecting gene doping, which can be broadly categorized as indirect and direct detection methods. Indirect methods measure the body's responses to doping, while direct method, which clearly identifies the doping agent, the goal is to identify the genetic materials of doping, a protein produced from the gene doping gene, or a vector. All gene doping detection methods have their advantages and disadvantages, and it is evident that detecting gene doping will be challenging. Candidate Genes in Gene Doping Candidate genes commonly used in gene doping include EPO, IGF1, GH, HIF1, PPARD, MSTN, ACTN2, ACTN3, VEGFA, POMC, PENK, ACE, and PCK1.

Given the sensitivity and significance of equestrian sports and horse racing, the likelihood of owners, trainers, and riders resorting to doping to achieve victory is increasing. As gene doping is more effective and harder to detect than traditional drug doping, it receives more attention from offenders. As a result, equestrian and horse racing competitions are facing a new challenge known as gene doping. Although there is currently no evidence of gene doping being used, the necessary technology exists to implement various forms of gene doping. The most effective measure for controlling doping is the introduction of precise doping detection tests. While a wide range of diagnostic tests has been proposed, there is currently no official and widespread method for detecting gene doping. A successful anti-doping program should not only include diagnostic tests but also focus on education, supervision, and implementation methods.

Advances in next generation sequencing technologies have created the ability to efficiently and economically sequence the whole genome more than ever and provide the opportunity to discover and introduce multiple polymorphisms throughout the genome of organisms. Azeri buffalo is one of the most important breeds of Iran and it is scattered in the north to the northwest of the country and is completely adapted to the environmental conditions of this geographical region. The main purpose of this study is to introduce the genomic diversity of Iranian buffaloes and categorize them. Also, introducing the effects of these variations on different genomic regions of Azeri buffaloes have potential applications in breeding programs.

In this study, whole genome sequencing of 5 heads of Azeri buffaloes native to Iran was done by Illumina sequencing platform. Data quality was measured by FastQC software. BWA-MEM software was used for alignment with the reference genome. Finally, the variants were identified using freebayes and the SnpEff program was used to calculate the effects of the variants by mentioning their type, location and number. The alignment result of high quality reads with the reference genome showed that the alignment percentage for all 5 samples was over 97.5%, which indicates the high quality of short reads.The coverage in the sequenced samples was determined between 4x and 12.8x.

finally, 76,298,858 million variants were identified, including 57,921,822 SNPs, 6,162,328 indels, 10,534,042 MNPs, and 1,680,666 MIXEDs. Small deletions and insertions with a minimum length of 1 bp, a maximum length of 28 bp and an average of 1.39 bp were identified. From the total number of variants, the highest frequency of variants was observed in intergenic regions, 53,789,879 (62.022 percent), intron 24,003,682 (27.677 percent), respectively, and the variants detected in exons had the lowest number.

Identification of genome-level variations such as snps, small insertions and deletions, and multi-nucleotide polymorphisms in different populations are a valuable resource in genetic research and can be useful in locating genomic segments responsible for important economic traits. Also, the large volume of SNPs enables genome-wide association studies in animals. In addition, the genomic variations identified in the present study can be used to develop high-density SNP arrays in Iranian breeds for genetic and breeding applications.

Fennel from the Apiaceae family is one of the most important medicinal plants that has strong antimicrobial, liver protective and antioxidant properties and has been used by humans since ancient times. The results of various studies on domestic animals have proven that adding the fennel in the diet of animals, increases digestion and growth efficiency, It improves carcass efficiency and small intestine weight and length , improves performance and health status, and improves feed conversion and body weight. Therefore, the aim of this study was to investigate the effect of fennel feeding on IGF1 gene expression in the rumen tissue of Kermani lambs for the first time.

In this research, 30 Kermani male lambs weighing 27.5 ± 0.45 kg (eight months old) were used. After the end of the study period, the investigated animals were slaughtered for sampling and the rumen weight was recorded. Total RNA was extracted from the rumen tissue and then cDNA was synthesized. The quality of RNA and cDNA was measured using electrophoresis on agarose gel. The Pfaffl et al. method was used to analyze the Real Time PCR data.

Empty rumen weight in animals fed with fennel (780 g) was lower than animals fed with diet without fennel (890 g) (P < 0.05). The extracted total RNA was of good quality, complete, and healthy, and had two bands with sizes of S28 and S18. Electrophoresis of the amplification results of target (IGF1) and reference (GAPDH) genes in rumen tissue on agarose gel showed that the band size for the target gene is 265 bp and for the reference gene is 76 bp. By increasing the level of feeding with fennel, there was a significant increase in IGF1 gene proliferation in rumen tissue (p<0.05). The maximum expression of IGF1 gene was when the animals were fed with a diet containing 2% fennel.

The findings of the present study show that fennel can be used with a beneficial effect on IGF1 gene expression in the rumen in the diet of sheep to improve production functions (by stimulating the growth and development of the rumen). Although according to the findings of the current research, it can be confirmed that fennel can be used for various purposes in sheep breeding, but in future research, in order to reach a definite result, it is better to consider diverse and more complex physiological and epigenetic conditions.

Plant pathogens profoundly impact crop yields and pose a significant barrier to achieving environmentally friendly goals regarding farming, cultivating food, and mitigating hunger-related concerns. The utilization of traditional methods for generalized seasonal pesticide application has been found to cause significant harm to both the surroundings and human well-being. In contrast, nanomaterial biosensors have emerged as cost-effective, highly efficient, specific, rapid, and accurate approaches for diagnosing plant pathogens and diseases. The Internet of Bio-Nano Things (IoBNT) is an emerging networking paradigm that utilizes small, biodegradable, and nonintrusive devices to gather and detect biological signals in the surrounding environment. Integrating the biological and digital realms of the Internet is facilitated by a technologically advanced device known as the Bio Cyber Interface (BCI). The BCI is a technology that facilitates the translation of biochemical messages from nanonetworks within the human body into electromagnetic radiation and, conversely, the translation of electromagnetic radiation into biochemical information. The security of BCIs is a significant concern regarding their practical application. This is because connecting BCIs to the Internet (5G) reveals their interfaces to potential external threats. To effectively address this concern, it is necessary to classify abnormal patterns in BCI traffic accurately. The utilization of current Machine Learning (ML) anomaly detection techniques is hindered by the complexity of parameters and the intricate correlations that exist among BBI traffic parameters. These methods often necessitate the manual design of features. To achieve this objective, the current study examines the utilization of a hybrid ensemble consisting of Convolutional Neural Networks and Long Short-Term Memory (CNN + LSTM) that enable flexible and scalable feature design to distinguish between conventional and abnormal BCI traffic. Through rigorous validation utilizing singular and multi-dimensional models on the generated dataset, our hybrid ensemble Deep Learning (DL) of CNN+LSTM achieved an accuracy of approximately 94.6%, surpassing other DL architectures.